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ORCIDHao Dong 0003
Person information
- affiliation: Peking University, Beijing, China
- affiliation (former): Imperial College London, Department of Computing, UK
Other persons with the same name
- Hao Dong — disambiguation page
- Hao Dong 0001
![[0000-0001-7565-0065]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7565-0065")
— Tsinghua University, Department of Automation, Beijing, China - Hao Dong 0002 — Xi'an Jiaotong University, Department of Computer Science and Technology, China
- Hao Dong 0004 — Harbin Shipping Engineering Institute, China
- Hao Dong 0005 — Beihang University, School of Instrumentation Science and Opto-Electronics Engineering, Beijing, China
- Hao Dong 0006 — Wuhan University, School of Electronic Information, China
- Hao Dong 0007 — Nanjing University of Aeronautics and Astronautics, College of Aerospace Engineering, China
- Hao Dong 0008 — Peking University, Center for Social Research, Guanghua School of Management, Beijing, China (and 2 more)
- Hao Dong 0009 — University of Massachusetts, Department of Electrical and Computer Engineering, Amherst, MA, USA
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2020 – today
- 2023
[j10]Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong:
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation. IEEE Robotics Autom. Lett. 8(6): 3899-3906 (2023)- [j9]Guanqun Wang, He Chen, Liang Chen, Yin Zhuang, Shanghang Zhang, Tong Zhang, Hao Dong, Peng Gao:
P2FEViT: Plug-and-Play CNN Feature Embedded Hybrid Vision Transformer for Remote Sensing Image Classification. Remote. Sens. 15(7): 1773 (2023) - [j8]Tong Zhang, Yin Zhuang, He Chen, Liang Chen, Guanqun Wang, Peng Gao, Hao Dong:
Object-Centric Masked Image Modeling-Based Self-Supervised Pretraining for Remote Sensing Object Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5013-5025 (2023) - [c30]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lu:
Resilient Binary Neural Network. AAAI 2023: 10620-10628 - [c29]Haoran Geng, Ziming Li, Yiran Geng, Jiayi Chen, Hao Dong, He Wang:
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations. CVPR 2023: 2978-2988 - [c28]Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Yizhou Wang:
GFPose: Learning 3D Human Pose Prior with Gradient Fields. CVPR 2023: 4800-4810 - [c27]Yang Tian, Jiyao Zhang, Zekai Yin, Hao Dong:
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation from Image Sequence. CVPR 2023: 8917-8926 - [c26]Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong:
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation. ICLR 2023 - [c25]Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong:
RLAfford: End-to-End Affordance Learning for Robotic Manipulation. ICRA 2023: 5880-5886 - [i56]Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv:
Resilient Binary Neural Network. CoRR abs/2302.00956 (2023) - [i55]Ruihai Wu, Chuanruo Ning, Hao Dong:
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation. CoRR abs/2303.11057 (2023) - [i54]Haoqi Yuan, Chi Zhang, Hongcheng Wang, Feiyang Xie, Penglin Cai, Hao Dong, Zongqing Lu:
Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks. CoRR abs/2303.16563 (2023) - [i53]Haoran Geng, Ziming Li, Yiran Geng, Jiayi Chen, Hao Dong, He Wang:
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations. CoRR abs/2303.16958 (2023) - [i52]Zihan Ding, Yuanpei Chen, Allen Z. Ren, Shixiang Shane Gu, Hao Dong, Chi Jin:
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference. CoRR abs/2304.04602 (2023) - [i51]Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong:
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation. CoRR abs/2304.10773 (2023) - [i50]Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, Hongsheng Li:
Personalize Segment Anything Model with One Shot. CoRR abs/2305.03048 (2023) - [i49]Siyuan Huang, Zhengkai Jiang, Hao Dong, Yu Qiao, Peng Gao, Hongsheng Li:
Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model. CoRR abs/2305.11176 (2023) - [i48]Jiyao Zhang, Mingdong Wu, Hao Dong:
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models. CoRR abs/2306.10531 (2023) - [i47]Yang Tian, Jiyao Zhang, Zekai Yin, Hao Dong:
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation from Image Sequence. CoRR abs/2307.12106 (2023) - [i46]Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu:
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR abs/2308.15116 (2023) - [i45]Junfeng Cheng, Mingdong Wu, Ruiyuan Zhang, Guanqi Zhan, Chao Wu, Hao Dong:
Score-PA: Score-based 3D Part Assembly. CoRR abs/2309.04220 (2023) - [i44]Tianhao Wu, Mingdong Wu, Jiyao Zhang, Yunchong Gan, Hao Dong:
Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping. CoRR abs/2309.06038 (2023) - [i43]Ruihai Wu, Chenrui Tie, Yushi Du, Yan Zhao, Hao Dong:
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly. CoRR abs/2309.06810 (2023) - [i42]Chuanruo Ning, Ruihai Wu, Haoran Lu, Kaichun Mo, Hao Dong:
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects. CoRR abs/2309.07473 (2023) - [i41]Kai Cheng, Ruihai Wu, Yan Shen, Chuanruo Ning, Guanqi Zhan, Hao Dong:
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions. CoRR abs/2309.07510 (2023) - [i40]Hongcheng Wang, Andy Guan Hong Chen, Xiaoqi Li, Mingdong Wu, Hao Dong:
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation. CoRR abs/2309.08138 (2023) - 2022
- [j7]Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang:
Edge-enhanced dual discriminator generative adversarial network for fast MRI with parallel imaging using multi-view information. Appl. Intell. 52(13): 14693-14710 (2022) - [j6]Jianhao Li, Yin Zhuang, Shan Dong, Peng Gao, Hao Dong, He Chen, Liang Chen, Lianlin Li:
Hierarchical Disentangling Network for Building Extraction from Very High Resolution Optical Remote Sensing Imagery. Remote. Sens. 14(7): 1767 (2022) - [j5]Tong Zhang, Peng Gao, Hao Dong, Yin Zhuang, Guanqun Wang, Wei Zhang, He Chen:
Consecutive Pre-Training: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain. Remote. Sens. 14(22): 5675 (2022) - [c24]Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong:
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions. ECCV (29) 2022: 90-107 - [c23]Qiyu Dai, Jiyao Zhang, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang:
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects. ECCV (39) 2022: 374-391 - [c22]Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong:
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. ICLR 2022 - [c21]Shanjunyu Liu, Yin Zhuang, Hao Dong, Peng Gao, Guanqun Wang, Tong Zhang, Liang Chen, He Chen, Lianlin Li:
Adaptive Local Context Embedding for Small Vehicle Detection from Aerial Optical Remote Sensing Images. IGARSS 2022: 1712-1715 - [c20]Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang:
Scalable Model-based Policy Optimization for Decentralized Networked Systems. IROS 2022: 9019-9026 - [c19]Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS 2022 - [c18]Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong:
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification. NeurIPS 2022 - [i39]Tianhao Wu, Fangwei Zhong, Yiran Geng, Hongchen Wang, Yongjian Zhu, Yizhou Wang, Hao Dong:
GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning. CoRR abs/2203.02119 (2022) - [i38]Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu:
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR abs/2206.08686 (2022) - [i37]Yan Zhao, Ruihai Wu, Zhehuan Chen, Yourong Zhang, Qingnan Fan, Kaichun Mo, Hao Dong:
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation. CoRR abs/2207.01971 (2022) - [i36]Tong Zhang, Peng Gao, Hao Dong, Yin Zhuang, Guanqun Wang, Wei Zhang, He Chen:
Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain. CoRR abs/2207.03860 (2022) - [i35]Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang:
Fully Decentralized Model-based Policy Optimization for Networked Systems. CoRR abs/2207.06559 (2022) - [i34]Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang:
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR abs/2208.01682 (2022) - [i33]Qiyu Dai, Jiyao Zhang, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang:
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects. CoRR abs/2208.03792 (2022) - [i32]Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong:
TarGF: Learning Target Gradient Field for Object Rearrangement. CoRR abs/2209.00853 (2022) - [i31]Renrui Zhang, Hanqiu Deng, Bohao Li, Wei Zhang, Hao Dong, Hongsheng Li, Peng Gao, Yu Qiao:
Collaboration of Pre-trained Models Makes Better Few-shot Learner. CoRR abs/2209.12255 (2022) - [i30]Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong:
End-to-End Affordance Learning for Robotic Manipulation. CoRR abs/2209.12941 (2022) - [i29]Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang:
MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR abs/2210.13708 (2022) - [i28]Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Yizhou Wang:
GFPose: Learning 3D Human Pose Prior with Gradient Fields. CoRR abs/2212.08641 (2022) - 2021
- [j4]Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang:
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. IEEE Trans. Image Process. 30: 7980-7994 (2021) - [c17]Minghang Zheng, Peng Gao, Renrui Zhang, Kunchang Li, Hongsheng Li, Hao Dong:
End-to-End Object Detection with Adaptive Clustering Transformer. BMVC 2021: 226 - [c16]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. ICCV 2021: 734-743 - [c15]Cheng Lai, Jiarong Han, Hao Dong:
Tensorlayer 3.0: A Deep Learning Library Compatible With Multiple Backends. ICME Workshops 2021: 1-3 - [c14]Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong:
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. IROS 2021: 7135-7142 - [c13]Zihan Ding, Tianyang Yu, Hongming Zhang, Yanhua Huang, Guo Li, Quancheng Guo, Luo Mai, Hao Dong:
Efficient Reinforcement Learning Development with RLzoo. ACM Multimedia 2021: 3759-3762 - [c12]Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong:
Fast and Flexible Human Pose Estimation with HyperPose. ACM Multimedia 2021: 3763-3766 - [i27]Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong:
Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. CoRR abs/2103.04301 (2021) - [i26]Pan Wang, Zhifeng Gong, Shuo Wang, Hao Dong, Jialu Fan, Ling Li, Peter R. N. Childs, Yike Guo:
Product semantics translation from brain activity via adversarial learning. CoRR abs/2103.15602 (2021) - [i25]Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong:
Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning. CoRR abs/2104.09122 (2021) - [i24]Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong:
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. CoRR abs/2106.14440 (2021) - [i23]Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi:
Contrastive Multimodal Fusion with TupleInfoNCE. CoRR abs/2107.02575 (2021) - [i22]Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong:
Fast and Flexible Human Pose Estimation with HyperPose. CoRR abs/2108.11826 (2021) - [i21]Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong:
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions. CoRR abs/2112.00246 (2021) - [i20]Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang:
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information. CoRR abs/2112.05758 (2021) - [i19]Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong:
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment. CoRR abs/2112.10143 (2021) - 2020
- [c11]Qingrui Zhang, Hao Dong, Wei Pan:
Lyapunov-Based Reinforcement Learning for Decentralized Multi-agent Control. DAI 2020: 55-68 - [c10]Yihao Zhao, Ruihai Wu, Hao Dong:
Unpaired Image-to-Image Translation Using Adversarial Consistency Loss. ECCV (9) 2020: 800-815 - [c9]Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong:
Generative 3D Part Assembly via Dynamic Graph Learning. NeurIPS 2020 - [i18]Yihao Zhao, Ruihai Wu, Hao Dong:
Unpaired Image-to-Image Translation using Adversarial Consistency Loss. CoRR abs/2003.04858 (2020) - [i17]Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong:
Generative 3D Part Assembly via Dynamic Graph Learning. CoRR abs/2006.07793 (2020) - [i16]Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong:
RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library. CoRR abs/2009.08644 (2020) - [i15]Qingrui Zhang, Hao Dong, Wei Pan:
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control. CoRR abs/2009.09361 (2020) - [i14]Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang:
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification. CoRR abs/2009.14406 (2020) - [i13]Minghang Zheng, Peng Gao, Xiaogang Wang, Hongsheng Li, Hao Dong:
End-to-End Object Detection with Adaptive Clustering Transformer. CoRR abs/2011.09315 (2020) - [i12]Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas A. Funkhouser, Hao Dong:
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding. CoRR abs/2012.13089 (2020)
2010 – 2019
- 2019
- [b1]Hao Dong:
Practical deep learning. Imperial College London, UK, 2019 - [j3]Liuqing Chen, Pan Wang, Hao Dong, Feng Shi, Ji Han, Yike Guo, Peter R. N. Childs, Jun Xiao, Chao Wu:
An artificial intelligence based data-driven approach for design ideation. J. Vis. Commun. Image Represent. 61: 10-22 (2019) - [c8]Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo:
Generative Creativity: Adversarial Learning for Bionic Design. ICANN (3) 2019: 525-536 - [c7]Simiao Yu, Hao Dong, Felix Liang, Yuanhan Mo, Chao Wu, Yike Guo:
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks. ICIP 2019: 734-738 - [i11]Guanqi Zhan, Yihao Zhao, Bingchan Zhao, Haoqi Yuan, Baoquan Chen, Hao Dong:
DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation. CoRR abs/1911.09943 (2019) - 2018
- [j2]Hao Dong, Chao Wu, Zhen Wei, Yike Guo:
Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Security. IEEE Trans. Inf. Forensics Secur. 13(3): 662-670 (2018) - [j1]Guang Yang, Simiao Yu, Hao Dong, Gregory G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, Yike Guo, David N. Firmin:
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Trans. Medical Imaging 37(6): 1310-1321 (2018) - [c6]Shengyu Zhang, Hao Dong, Wei Hu, Yike Guo, Chao Wu, Di Xie, Fei Wu:
Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network. PCM (3) 2018: 417-427 - [i10]Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo:
Generative Creativity: Adversarial Learning for Bionic Design. CoRR abs/1805.07615 (2018) - 2017
- [c5]Hao Dong, Simiao Yu, Chao Wu, Yike Guo:
Semantic Image Synthesis via Adversarial Learning. ICCV 2017: 5707-5715 - [c4]Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo:
I2T2I: Learning text to image synthesis with textual data augmentation. ICIP 2017: 2015-2019 - [c3]Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. MIUA 2017: 506-517 - [c2]Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo:
TensorLayer: A Versatile Library for Efficient Deep Learning Development. ACM Multimedia 2017: 1201-1204 - [i9]Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo:
Unsupervised Image-to-Image Translation with Generative Adversarial Networks. CoRR abs/1701.02676 (2017) - [i8]Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo:
I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation. CoRR abs/1703.06676 (2017) - [i7]Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. CoRR abs/1705.03820 (2017) - [i6]Simiao Yu, Hao Dong, Guang Yang, Greg G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, David N. Firmin, Yike Guo:
Deep De-Aliasing for Fast Compressive Sensing MRI. CoRR abs/1705.07137 (2017) - [i5]Hao Dong, Simiao Yu, Chao Wu, Yike Guo:
Semantic Image Synthesis via Adversarial Learning. CoRR abs/1707.06873 (2017) - [i4]Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo:
TensorLayer: A Versatile Library for Efficient Deep Learning Development. CoRR abs/1707.08551 (2017) - [i3]Hao Dong, Chao Wu, Zhen Wei, Yike Guo:
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security. CoRR abs/1711.07520 (2017) - 2016
- [c1]Hao Dong, Paul M. Matthews, Yike Guo:
A new soft material based in-the-ear EEG recording technique. EMBC 2016: 5709-5712 - [p1]Akara Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo:
Survey on Feature Extraction and Applications of Biosignals. Machine Learning for Health Informatics 2016: 161-182 - [i2]Wei Pan, Hao Dong, Yike Guo:
DropNeuron: Simplifying the Structure of Deep Neural Networks. CoRR abs/1606.07326 (2016) - [i1]Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo:
Mixed Neural Network Approach for Temporal Sleep Stage Classification. CoRR abs/1610.06421 (2016)
Coauthor Index
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